CareTrust REIT CTRE
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
CareTrust REIT (CTRE) Business Model and Operations Summary
CareTrust REIT, Inc. is a self-administered, publicly-traded real estate investment trust engaged in the ownership, acquisition, development and leasing of skilled nursing, seniors housing and other healthcare-related properties. With a nationwide portfolio of long-term net-leased properties, and a growing portfolio of quality operators leasing them, CareTrust REIT is pursuing both external and organic growth opportunities across the United States.
Key Insights
CareTrust REIT (CTRE) Core Market Data and Business Metrics
Latest Closing Price
$28.81Market Cap
$5.50 BillionAverage Trade Volume
1,867,983 SharesCEO
Mr. David M. SedgwickTotal Employees
21IPO Date
May 29, 2014SIC Description
Real Estate Investment TrustsPrimary Exchange
New York Stock ExchangeHeadquarters
905 Calle Amanecer, Suite 300, San Clemente, CA, 92673
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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